Southwest Minnesota State University is a public, four-year university that is part of the Minnesota State Colleges and Universities System. It is located in Marshall, Minnesota, United States, a city of 13,680 people. The school has a full-time enrollment of approximately 3,700 students and employs 148 faculty members. It is divided into two major colleges, the College of Arts, Letters, and science, and the College of Business, Education, and Professional Studies. SMSU is accredited by the North Central Association of Colleges and Schools. Wikipedia.
News Article | May 1, 2017
BLOOMINGTON, Minn.--(BUSINESS WIRE)--Minnesota Masonic Charities (MMC) today announced the recipients of its 2017 Scholarships Program. As part of its continuing commitment to building a better future for Minnesota, the nonprofit organization provides annual awards to some of the state’s most promising scholars. Since 2008, the organization has provided more than $2 million to fund Minnesota students seeking higher education. By 2018, Minnesota Masonic Charities plans to distribute $1 million annually in merit scholarship awards. “Our scholars reflect the values and character that are important to Masons,” said Eric Neetenbeek, Minnesota Masonic Charities president and CEO. “They demonstrate integrity and dedication – two traits we believe exemplify leadership. We have great faith in the individuals we select for these awards each year.” MMC offers up to 95 scholarship awards annually. The Signature, Legacy, Heritage and Vocational scholarships are made available to high school seniors on an equal opportunity basis, with no discrimination for age, gender, religion, national origin or Masonic affiliation; and an Undergraduate scholarship for up to 20 current college students is also available. All awards range from $1,000 to $5,000 per year, and students may renew their scholarship awards annually, provided they maintain scholastic performance. Please see the following page for a complete list of the 2017 Masonic Scholars. For more information about the Minnesota Masonic Charities Scholarships Program, please contact Kelly Johns, Director of Communications for MMC, at 952-948-6202 or firstname.lastname@example.org. Colton Mowers, Albert Lea (University of Wisconsin, Madison) Lucas Fleissner, Rochester (Iowa State University) Seth Cattanach, Lake Elmo (University of Notre Dame) Katelynne Schatz, Kettle River (College of St. Scholastica) Rachel Pompa, Hermantown (University of Minnesota, Duluth) Karli Weisz, Mora (University of North Dakota) Brock Drevlow, Theif River Falls (Johns Hopkins University) Jack Hedberg, Roseville (University of Minnesota, Twin Cities) Sophia Vrba, Maple Grove (University of Minnesota, Twin Cities) Za Vang, Minneapolis (University of St. Thomas) Sela Fadness, Austin (Hamline University) Tess Hatfield, Hill City (University of Wisconsin, Superior) Isabel Brown, White Bear lake (University of Minnesota, Twin Cities) Taylor Schmidt, Duluth (College of St. Scholastica) Jenifer Weyer, St. Cloud (Winona State University) Anthony Tran Vu, St. Paul (University of St. Thomas) Ryan McMahon, Mahtomedi (University of Minnesota, Twin Cities) Alex Sellner, Fairfax (Gustavus Adolphus College) Nathan Kuhn, Eagan (Southwest Minnesota State University) Caroline Sullivan, Fridley (University of Minnesota, Twin Cities)
News Article | April 17, 2017
LearnHowToBecome.org, a leading resource provider for higher education and career information, has analyzed more than a dozen metrics to rank Minnesota’s best universities and colleges for 2017. Of the 32 four-year schools on the list, Gustavus Adolphus College, St. Catherine University, Saint John’s University, University of Minnesota Twin Cities and The College of Saint Scholastica came in as the top five. 32 two-year schools also made the list, and Hennepin Technical College, Hibbing Community College, North Hennepin Community College, Rochester Community and Technical College and Minnesota State and Technical College were ranked as the best five. A full list of the winning schools is included below. “Creating a healthy, diversified workforce requires a community with a strong educational foundation,” said Wes Ricketts, senior vice president of LearnHowToBecome.Org. “Minnesota provides a variety of college options, and the schools on our list show which offer the best combination of quality education and positive post-college stats for students.” To be included on the “Best Colleges in Minnesota” list, schools must be regionally accredited, not-for-profit institutions. Each college is also analyzed based on more than a dozen data points that include the annual alumni earnings 10 years after entering college, employment resources, student/teacher ratio, graduation rate and financial aid availability. Complete details on each college, their individual scores and the data and methodology used to determine the LearnHowToBecome.org “Best Colleges in Minnesota” list, visit: Minnesota’s Best Four-Year Colleges for 2017 include the following schools: Augsburg College Bemidji State University Bethany Lutheran College Bethel University Carleton College College of Saint Benedict Concordia College at Moorhead Concordia University-Saint Paul Crown College Gustavus Adolphus College Hamline University Macalester College Martin Luther College Metropolitan State University Minneapolis College of Art and Design Minnesota State University Moorhead Minnesota State University-Mankato North Central University Saint Cloud State University Saint John’s University Saint Mary's University of Minnesota Southwest Minnesota State University St Catherine University St Olaf College The College of Saint Scholastica University of Minnesota-Crookston University of Minnesota-Duluth University of Minnesota-Morris University of Minnesota-Twin Cities University of Northwestern-St Paul University of St Thomas Winona State University Minnesota’s Best Two-Year Colleges for 2017 include: Alexandria Technical & Community College Anoka Technical College Anoka-Ramsey Community College Central Lakes College Century College Dakota County Technical College Fond du Lac Tribal and Community College Hennepin Technical College Hibbing Community College Inver Hills Community College Itasca Community College Lake Superior College Leech Lake Tribal College Mesabi Range Community and Technical College Minneapolis Community and Technical College Minnesota State College - Southeast Technical Minnesota State Community and Technical College Minnesota West Community and Technical College Normandale Community College North Hennepin Community College Northland Community and Technical College Northwest Technical College Pine Technical Community College Rainy River Community College Ridgewater College Riverland Community College Rochester Community and Technical College Saint Paul College South Central College St Cloud Technical and Community College Vermilion Community College White Earth Tribal and Community College About Us: LearnHowtoBecome.org was founded in 2013 to provide data and expert driven information about employment opportunities and the education needed to land the perfect career. Our materials cover a wide range of professions, industries and degree programs, and are designed for people who want to choose, change or advance their careers. We also provide helpful resources and guides that address social issues, financial aid and other special interest in higher education. Information from LearnHowtoBecome.org has proudly been featured by more than 700 educational institutions.
Gonela V.,Southwest Minnesota State University |
Zhang J.,California Baptist University |
Osmani A.,Minnesota State University, Moorhead
Computers and Industrial Engineering | Year: 2015
Bioethanol has been considered as an important type of renewable energy that can help reduce energy crisis and environmental degradation. Under economic, technology, and sustainability consideration, food based 1st generation bioethanol and lignocellulosic-based 2nd generation bioethanol have to exist simultaneously. Therefore, it is necessary to design a hybrid generation bioethanol supply chain (HGBSC) to sustainably meet the ever-increasing energy demand and different government-mandated sustainability standards related to green sustainability such as greenhouse gas (GHG) emissions, irrigation land and water usage, and energy efficiency. This paper is the first to examine different type of bioethanol plant configurations including industrial symbiosis strategy in order to meet high sustainability standards and design robust and sustainable industrial symbiosis based hybrid generation bioethanol supply chains (ISHGBSC). A novel stochastic mixed integer linear programming (SMILP) model is proposed to design the optimal ISHGBSC under different sustainability standards. A case study of North Dakota (ND) in USA has been studied as an application of the proposed model. The results show that some sustainability standards are stronger than others in terms of the number of green sustainability requirements met. When stronger sustainability standards are applied, the economic performance of the ISHGBSC is sacrificed. The results provide a guideline for policymakers to determine the appropriate standard to use under different sustainable concerns, and for policymakers and investors the best ISHGSBC structure under each standard. In addition, the results provide investors a guideline to invest in different technologies under different sustainability standards. Sensitivity analyses is also conducted to provide deep understanding of the proposed ISHGBSC and to identify the factors that might impact the stability of the ISHGBSC under different standards. © 2015 Elsevier Ltd. All rights reserved.
Hong D.,Rutgers University |
Man S.,Southwest Minnesota State University
Journal of Theoretical Biology | Year: 2010
An emerging notion in systems biology is that biological networks have evolved to function well while their components behave stochastically. Thus, the dynamics in a biological network consist of two parts, deterministic and stochastic. A fundamental question is to find a quantitative relation between the two parts. We term such a relation as a deterministic-stochastic principle (DSP) and propose a model for a DSP with regard to signal propagation in biological networks. In this model, (i) the dynamics in a biological network is supposed to be captured by a stochastic differential equation which has been a standard approach in modeling systems with internal noise; (ii) the internal noise of a biological network is weak as is apparent in experimental observations; and (iii) a biological network is organized as small-world as suggested by recent studies. We introduce the concept of a signaling sample path. Using this concept we relate the structure of a biological network to its dynamics. The network structure characterizes the deterministic part of the dynamics, which in turn ensures a probability for a signal to propagate. The weakness of the internal noise characterizes the stochastic part of the dynamics. Analysis of the proposed model yields a quantitative description as follows: In a small-world biological network with weak internal noise, the signaling pathways (induced by the network structure) for a signal may ensure a probability near 0 for the signal propagation. Despite such a small probability, a correct response to the signal will still occur with a probability close to 1 provided that this signal propagation can take a certain amount of time. Computer simulations are performed to illustrate this result. We also discuss how a recent study on the reconstruction of a transcription network in Saccharomyces cerevisiae has tested the proposed model against real data.
Hong D.,Rutgers University |
Man S.,Southwest Minnesota State University |
Martin J.V.,Rutgers University
Journal of Theoretical Biology | Year: 2016
There are two functionally important factors in signal propagation in a brain structural network: the very first synaptic delay-a time delay about 1. ms-from the moment when signals originate to the moment when observation on the signal propagation can begin; and rapid random fluctuations in membrane potentials of every individual neuron in the network at a timescale of microseconds. We provide a stochastic analysis of signal propagation in a general setting. The analysis shows that the two factors together result in a stochastic mechanism for the signal propagation as described below. A brain structural network is not a rigid circuit rather a very flexible framework that guides signals to propagate but does not guarantee success of the signal propagation. In such a framework, with the very first synaptic delay, rapid random fluctuations in every individual neuron in the network cause an "alter-and-concentrate effect" that almost surely forces signals to successfully propagate. By the stochastic mechanism we provide analytic evidence for the existence of a force behind signal propagation in a brain structural network caused by rapid random fluctuations in every individual neuron in the network at a timescale of microseconds with a time delay of 1 ms. © 2015.
Brown J.H.,Southwest Minnesota State University
Journal of Chemical Education | Year: 2015
Cyclic voltammetry (CV) is a popular technique for the study of electrochemical mechanisms because the method can provide useful information on the redox couple. The technique involves the application of a potential ramp on an unstirred solution while the current is monitored, and then the ramp is reversed for a return sweep. CV is sometimes introduced in undergraduate chemistry laboratories. The CV waveform is dependent on several processes including charge transfer, diffusion, and coupled homogeneous reactions. Computer simulations are sometimes used to study these effects. An easy-to-use CV simulator was written in Microsoft Excel for the purpose of teaching undergraduate students and to serve as an entryway to more sophisticated electrochemical simulations. © 2015 The American Chemical Society and Division of Chemical Education, Inc.
Brown J.H.,Southwest Minnesota State University
Journal of Chemical Education | Year: 2016
Cyclic voltammetry (CV) is a popular technique for the determination of electrochemical mechanisms because it can provide useful information on a redox couple. Computer simulations of CV data are sometimes used to study complex redox systems with interrelated processes. The following communication outlines an expanded version of an experiment developed to introduce undergraduate students to CV and electrochemical simulations. A new solvent/electrolyte system of dimethylformamide with 0.1 M tetrabutylammonium hexafluorophosphate increases analyte solubility, improves sample conductivity, and extends the electrochemical domain as compared to the original experiment. Simulation parameters determined by wave clipping the first redox couple of a series are used to simulate a more complex two-redox system of the same compound. Experiments designed to teach CV and electrochemical simulations to undergraduate students rarely use wave clipping as a technique to simplify experimental data for the analysis of a more complex system. The addition of wave clipping and the analysis of a two redox system increase the laboratory experience gained by the students as compared to the original experiment, which was limited to a single redox couple. © 2016 The American Chemical Society and Division of Chemical Education, Inc.
Campanelli M.,Southwest Minnesota State University |
Gedeon T.,Montana State University
PLoS Computational Biology | Year: 2010
Somitogenesis is a process common to all vertebrate embryos in which repeated blocks of cells arise from the presomitic mesoderm (PSM) to lay a foundational pattern for trunk and tail development. Somites form in the wake of passing waves of periodic gene expression that originate in the tailbud and sweep posteriorly across the PSM. Previous work has suggested that the waves result from a spatiotemporally graded control protein that affects the oscillation rate of clock-gene expression. With a minimally constructed mathematical model, we study the contribution of two control mechanisms to the initial formation of this gene-expression wave. We test four biologically motivated model scenarios with either one or two clock protein transcription binding sites, and with or without differential decay rates for clock protein monomers and dimers. We examine the sensitivity of wave formation with respect to multiple model parameters and robustness to heterogeneity in cell population. We find that only a model with both multiple binding sites and differential decay rates is able to reproduce experimentally observed waveforms. Our results show that the experimentally observed characteristics of somitogenesis wave initiation constrain the underlying genetic control mechanisms. © 2010 Campanelli, Gedeon.
Henning T.,Southwest Minnesota State University
Journal of Asynchronous Learning Network | Year: 2012
This paper is a study of the author's experiences taking a six-week, asynchronous, online, faculty development class for educators at the secondary and postsecondary levels. Using autoethnography methods, the author details her learning and the ways her experiences support adult learning theories. Implications of this research suggest that adult learning theories should also be applied to faculty development experiences because faculty are more likely to benefit from online faculty development if they are given the opportunity to direct the course of their development to suit their own needs.
Bell J.W.,Purdue University |
Bell J.W.,Southwest Minnesota State University |
Chen D.,Spinal USA |
Bahls M.,Purdue University |
Newcomer S.C.,Purdue University
Journal of Spinal Cord Medicine | Year: 2013
Objective: To investigate lower-extremity arterial hemodynamics in individuals with spinal cord injury (SCI). We hypothesized that oscillatory shear index would be altered and resting mean shear would be higher in the lowerextremity arteries of SCI. Research: Cross-sectional study of men and women with SCIs compared to able-bodied controls. Subjects: Subjects included 105 ages 18-72 years with American Spinal Injury Association (ASIA) Impairment Scale grades A, B, or C and injury duration at least 5 years. Subjects were matched for age and cardiovascular disease risk factors with 156 able-bodied controls. Methods: Diameter and blood velocity were determined with subject at rest via ultrasound in superficial femoral, popliteal, brachial, and carotid arteries. Mean shear, antegrade shear, retrograde shear, and oscillatory shear index were calculated. Results: Oscillatory shear index was lower in SCI compared to controls for superficial femoral (0.16 ± 0.10 vs. 0.26 ± 0.06, P < 0.01) and popliteal arteries (0.20 ± 0.11 vs. 0.26 ± 0.05, P < 0.01). Mean shear rate was higher in SCI compared to controls for superficial femoral (43.54 ± 28.0 vs. 20.48 ± 13.1/second, P < 0.01) and popliteal arteries (30.43± 28.1 vs. 11.68 ± 9.5/second, P < 0.01). Conclusions: The altered resting hemodynamics in SCI are consistent with an atheroprotective hemodynamic environment. © The Academy of Spinal Cord Injury Professionals, Inc. 2013.